Data Scientist Asia

QBE Asia; Petaling Jaya; Hybrid; MYR 80,000 - 100,000; Full time

Job summary

A leading insurance company is seeking an experienced Data Analyst in Petaling Jaya, Malaysia. This role focuses on leveraging scientific principles and data-driven analytics to enhance business performance. Candidates should possess strong experience in R, Python, and managing large datasets, along with excellent collaboration skills. A quantitative degree is preferred. The position offers a comprehensive benefits package, including flexible working options and well-being programs.

Benefits

Flex and hybrid working options

Work from home policy

Well-being programs

Medical benefits

Access to online learning via LinkedIn Learning

Additional family care leaves

Study leave

Marriage leave

Internal appreciation program

Qualifications

• Experience in producing insights from large datasets.
• Analytics experience with R, Python, Spark.
• Collaborative programming project experience.
• Comfortable in a Linux environment.

Responsibilities

• Develop and refine analytical use cases with internal business customers.
• Translate between business and analytical problems.
• Ensure compliance with QBE policies and procedures.
• Act as a Machine Learning expert to support Data & Analytics colleagues.

Skills

Data Analysis

Machine Learning

R Programming

Communication

Collaboration Tools

Critical Thinking

Education

Bachelor to Postgraduate Degree in a Quantitative field

Tools

R

Python

Spark

Job description

Primary Details

Time Type: Full time

Worker Type: Employee

The purpose of this role is to apply scientific principles and data-driven analytics to improve the quality and performance of business units. This involves translating stakeholders' needs into analytically tractable problems, applying scientific methods and big data tools to resolve them, and communicating findings back to business owners. The role also includes taking ownership of technical project delivery and serving as a modelling and data science partner for assigned business areas to ensure scientific integrity in work products.

The opportunity

• Develop and refine analytical use cases with internal business customers in alignment with Analytics leads and partners.


• Play an active role in projects of diverse scope, range, priority and urgency within the insurance domain.


• Translate between business and analytical problems.


• Interrogate and interpret data and models to formulate, evaluate and iterate hypotheses quickly.


• Integrate, format and present relevant analyses and data visualizations to communicate results, findings and recommendations to business users.


• Act as a Machine Learning expert to support Data & Analytics colleagues and business stakeholders.


• Direct the work of onshore and offshore analytics and data science projects.


• Plan own activities for each sprint, accurately estimating effort for stories/tasks.


• Ensure compliance with QBE policies and procedures and relevant legislation.


• Share knowledge and contribute reusable practices and techniques within and beyond the team.

About You

• Experience in producing insights from large datasets.


• Analytics experience with R, Python, Spark.


• Collaborative programming project experience.


• Comfortable in a Linux environment.

Qualifications

Necessary Qualifications include:

• Tertiary Degree or equivalent combination of education and work experience.

Preferred Qualifications include:

• Bachelor to Postgraduate Degree in a Quantitative field such as Computer Science, Engineering, Statistics, Mathematics or related disciplines.

About QBE

What if you could have a positive impact – at work and in the world?

At QBE, we’re enabling a more resilient future – for our customers, communities, environment, and for our people. We’re building momentum to achieve something significant and know our people are at the centre of our success.

Our industry offers interesting and varied careers where you can help people to protect what matters most. As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. And with more than 13,000 people working across 27 countries, our scale means we’re big enough for your ambitions, yet small enough for you to make a real impact.

QBE Asia’s operations is part of the QBE International Division, and has had a presence in Asia for more than 130 years with offices in: Singapore, Hong Kong & Macau, Malaysia and Vietnam. We continue to be recognised for our ongoing focus on digital innovation to deliver exceptional value and operational excellence for our customers, business partners, people and the community. We support ESG efforts through the QBE Foundation, which helps to create strong, resilient and inclusive communities, by focusing investment and efforts on two key areas where we believe we can have the greatest impact – climate resilience and inclusion.

Benefits

Excited to share our comprehensive benefits package at QBE! 🌟

• Flex and hybrid working options


• Work from home policy


• Paternity leaves matching with maternity leave


• Well-being programs


• Pensions


• Medical benefits


• Globally, access to online learning via LinkedIn Learning


• On top of annual leaves, 3 additional days off (Family care leaves)


• Study leave


• Marriage leave


• Internal Appreciation program with points to redeem nice merchandize and life experiences

Join us and enjoy a work environment that values your well-being and personal growth! 🌟

Skills

• Cleaning (Inactive)


• Collaboration Tools


• Communication


• Critical Thinking


• Data Analysis


• Data Science


• Economics


• Intentional collaboration


• Machine Learning


• Managing performance


• Process Improvements


• Reporting and Analysis


• R Programming


• Sourcing Analytics


• Stakeholder Management

How to Apply

To submit your application, click \"Apply\" and follow the step by step process.

Equal Employment Opportunity

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.